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| Criterion |  Delivery Monte Carlo Forecasting |  Operations Fault Tree Analysis |  Operations Barrier Analysis |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | 30-90 min Setup, danach laufend | 2-6 h | 2-4 h | 2-6 h |
Participantsdifferent | 1-8 | 3-8 | 2-6 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | ForecastingFlowDelivery | RiskRoot causeSafety | Root causeSafetyIncident | CausalityIncidentRoot causeTimeline |